Triple

T13226931
Position Surface form Disambiguated ID Type / Status
Subject Anthony Ashley-Cooper, 1st Earl of Shaftesbury E314905 entity
Predicate mother P120 FINISHED
Object Anne Ashley
Anne Ashley was an English gentlewoman of the 17th century best known as the mother of Anthony Ashley-Cooper, 1st Earl of Shaftesbury, a prominent statesman and politician.
E1032423 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Anne Ashley | Statement: [Anthony Ashley-Cooper, 1st Earl of Shaftesbury, mother, Anne Ashley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Ashley
Context triple: [Anthony Ashley-Cooper, 1st Earl of Shaftesbury, mother, Anne Ashley]
  • A. Denisia Andrews
    Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
  • B. Renée Asherson
    Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
  • C. Faye Medwick
    Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
  • D. Joanna Ashby
    Joanna Ashby is a phonetician and lexicographer known for her later editorial work on the Cambridge English Pronouncing Dictionary.
  • E. Anne Ashmond
    Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anne Ashley
Triple: [Anthony Ashley-Cooper, 1st Earl of Shaftesbury, mother, Anne Ashley]
Generated description
Anne Ashley was an English gentlewoman of the 17th century best known as the mother of Anthony Ashley-Cooper, 1st Earl of Shaftesbury, a prominent statesman and politician.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anne Ashley
Target entity description: Anne Ashley was an English gentlewoman of the 17th century best known as the mother of Anthony Ashley-Cooper, 1st Earl of Shaftesbury, a prominent statesman and politician.
  • A. Denisia Andrews
    Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
  • B. Renée Asherson
    Renée Asherson was a British stage and film actress known for her delicate, expressive performances in mid-20th-century British cinema and theatre.
  • C. Faye Medwick
    Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
  • D. Joanna Ashby
    Joanna Ashby is a phonetician and lexicographer known for her later editorial work on the Cambridge English Pronouncing Dictionary.
  • E. Anne Ashmond
    Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716c4a71c8190b0e0ae40af115c64 completed May 3, 2026, 9:35 a.m.
NEDg Description generation batch_69f7177e07508190b46e6a12f09e7986 completed May 3, 2026, 9:38 a.m.
NED2 Entity disambiguation (via description) batch_69f717e72b988190927b628022bcbf12 completed May 3, 2026, 9:39 a.m.
Created at: April 9, 2026, 9:21 p.m.